Machine Learning Engineer, NewsBreak

• This is an ideal opportunity for a new graduate or early-career engineer who is passionate about large-scale machine learning, recommendation systems, and solving real-world problems through data-driven innovation
• MS degree in Computer Science, Machine Learning, or a related quantitative field
• Academic or project experience in one or more of the following areas: machine learning, recommendation systems, deep learning, relevance modeling, feed ranking, or data mining
• Proficiency in Java or Scala
• Familiarity with scripting languages such as Python, Perl, or shell scripting
• Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or MXNet
• Strong analytical, problem-solving, and communication skills, with enthusiasm for collaboration and learning

Desirable

• As a Machine Learning Engineer on our Recommendation team, you will contribute to building and improving the machine learning systems that power personalized content delivery to millions of users
• You’ll work closely with senior engineers and data scientists to develop scalable algorithms, data pipelines, and experimentation tools that enhance user experience and engagement
• Model Development:
• Design and implement scalable machine learning models to address problems such as classification, clustering, topic modeling, natural language processing, and recommendation
• Tooling & Experimentation:
• Develop in-house machine learning tools and pipelines to support fast experimentation, model training, and deployment
• Collaboration & Optimization:
• Partner with other engineers and data scientists to identify and solve ML-related challenges, improve algorithm performance, and optimize recommendation quality
• Continuous Learning:
• Stay current with advances in machine learning, recommendation algorithms, and large-scale data processing frameworks